Build and Deploy Multiple Large Language Models in Kubernetes with LangChain
Briefly

Crafting generative AI interfaces is complex with various tools available like Hugging Face, LangChain, PyTorch, and TensorFlow. Deploying LLM architectures requires a mix of fine-tuned, generic, or externally sourced models to meet departmental needs.
Implementing a chatbot for HR, IT, and legal department inquiries may need multiple LLMs due to specialized requirements. Balancing computational needs, resource utilization, and potential pitfalls is crucial.
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